In this episode, I share a candid, thinking-out-loud reflection on how fast agentic coding is evolving—and what that speed means if you’re building and leading a company right now.
From a CEO’s perspective, I talk about why old mental models for software development no longer fully apply, and why it’s no longer enough to ask how we build, but who (or what) should be doing which parts of the work. I don’t have all the answers—and I’m very explicit about that—but I believe it’s better to share pragmatic, half-formed thoughts than to wait for perfect clarity.
Over the last few weeks, my own workflow has shifted dramatically. I describe moving from “sitting in a terminal pressing yes” to running agents on sandboxed virtual machines, orchestrating long-running tasks, and increasingly treating AI systems less like tools and more like collaborators. At times, it genuinely feels magical—and at other times, cognitively overwhelming.
“If you can suddenly build things that weren’t possible just weeks ago, you can’t rely on old standards of thinking.”
I also explore what feels like the next inflection point: moving beyond single agents toward true multi-agent orchestration, where planning, coordination, and even delegation are increasingly handled by AI itself. Today, humans still act as the operator-in-the-loop. Tomorrow, that role may shift upward—toward taste, direction, and judgment rather than execution.
Throughout the episode, I reflect on what this means for engineers, “intelligence workers,” and small teams—especially in high-impact domains like the energy transition, where I’m grateful to be building with a 10-person team using these new tools.
This episode is less about conclusions and more about momentum. It’s a snapshot from an extremely exciting moment in time—shared in public, in real time, while everything is still changing.
